Dylan M. Cable
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
Papers in
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- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 1
- Gene Regulatory Network Analysis 1
- Bioinformatics and Genomic Networks 1
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- interferon and immune responses 1
- Co-authors
- Evan M. Murray (4 shared papers)Fei Chen (4 shared papers)Evan Z. Macosko (3 shared papers)Luli S. Zou (3 shared papers)Rafael A. Irizarry (3 shared papers)Aleksandrina Goeva (1 shared paper)Vignesh Shanmugam (1 shared paper)Haiqi Chen (1 shared paper)
- Journals
- Nature Methods (1 paper)Nature Communications (1 paper)Nature (1 paper)Science (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United States
In The Last Decade
Dylan M. Cable
6 papers receiving 1.0k citations
Dylan M. Cable's Hit Papers
Peers
Comparison fields: 5 of 81
- Biophysics 122
- Molecular Biology 711
- Immunology 194
- Cancer Research 116
- Neurology 63
Countries citing papers authored by Dylan M. Cable
This map shows the geographic impact of Dylan M. Cable's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dylan M. Cable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan M. Cable more than expected).
Fields of papers citing papers by Dylan M. Cable
This network shows the impact of papers produced by Dylan M. Cable. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dylan M. Cable. The network helps show where Dylan M. Cable may publish in the future.
Co-authors
The 24 scholars most cited alongside Dylan M. Cable, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Robust decomposition of cell type mixtures in spatial transcriptomics Hit paper breakdown → | 2021 | 782 |
| 2 | 2022 | 96 | |
| 3 | 2023 | 81 | |
| 4 | 2023 | 42 | |
| 5 | 2017 | 29 | |
| 6 | 2024 | 7 | |
| 7 | 2025 | 0 |
About Dylan M. Cable
Dylan M. Cable is a scholar working on Molecular Biology, Immunology, Developmental Neuroscience, Biophysics and Neurology, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), interferon and immune responses (1 paper), Gene expression and cancer classification (1 paper), Gene Regulatory Network Analysis (1 paper), Bioinformatics and Genomic Networks (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Cancer-related molecular mechanisms research (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Biophysics (122 citations), Molecular Biology (711 citations), Immunology (194 citations), Cancer Research (116 citations) and Neurology (63 citations). Dylan M. Cable has collaborated with scholars based in United States. Frequent co-authors include Evan M. Murray, Fei Chen, Evan Z. Macosko, Luli S. Zou, Rafael A. Irizarry, Aleksandrina Goeva, Vignesh Shanmugam, Haiqi Chen, Taosheng Liu and Justin L. Gardner. Their work appears in journals such as Nature Methods, Nature Communications, Nature, Science and Nature Biotechnology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.